Bioinformatician in RNA biology - Eric Lai lab, MSKCC, NYC

Memorial Sloan-Kettering Cancer Center
Developmental Biology
United States NY 10065


The Eric Lai lab at Memorial Sloan-Kettering Cancer Center seeks a computational biologist to work closely with experimentalists to decipher post-transcriptional mechanisms and their in vivo biological impacts. We use both Drosophila and mammalian models, and there are active exchanges of ideas between dry and wet lab members to interpret genomic data and use these to design new tests that can inform the breadth and consequences of new RNA pathways.

The ideal candidate will be familiar with analyzing and integrating multiple types of genomic data (e.g. small RNA, RNA-seq, scRNA-seq, CLIP-seq, RNA modifications, de novo transcriptomes and genome assembly, etc), and analyze with respect to the rich comparative genomic and population data available for Drosophila, mouse and human. We utilize existing genomics analysis tools and statistical frameworks, but many regulatory paradigms we are uncovering require custom scripts and pipelines to reveal novel genes, isoforms, and regulatory networks. The candidate will integrate into several projects in RNA biology, including novel mechanisms of miRNA biogenesis, control of tissue-specific alternative polyadenylation, and in vivo regulation by m6A/RNA methylation.

We have an interactive, multidisciplinary, and collaborative team engaged in diverse topics in regulatory biology, and the Sloan Kettering Institute provides a vibrant research community committed to inclusivity and diversity. Position is currently available and funded by a new 4-yr NIH-R01 grant, and include nearby subsidized housing and benefits. Please provide CV, motivation letter and references to Eric Lai,

Recent papers emphasizing genomic approaches in RNA biology
Vedanayagam J., C.-J. Lin and E. C. Lai (2021). Rapid evolutionary dynamics of an expanding family of meiotic drive factors and their hpRNA suppressors. Nature Ecology and Evolution

Kan, L., S. Ott, B. Joseph, E.S. Park., C. Dai, R. E. Kleiner, A. Claridge-Chang, and E. C. Lai (2021). A neural m6A/YTHDF pathway is required for learning and memory in Drosophila. Nature Communications 12(1):1458. doi: 10.1038/s41467-021-21537-1.

Joseph, B. and E. C. Lai (2021). The Exon Junction Complex and intron removal prevents resplicing of mRNA. PLoS Genetics 17(5):e1009563. doi: 10.1371/journal.pgen.1009563.

Lee, S., B. Zhang, L. Wei, R. Goering, S. Majumdar, J. M. Taliaferro, and E. C. Lai (2021). ELAV/Hu RNA binding proteins determine multiple neural alternative splicing programs. PLoS Genetics, 17(4):e1009439.

Garaulet, D.L., A. Moro and E. C. Lai (2021). A double negative gene regulatory circuit mediates the virgin behavioral state. Cell Reports 36: 109335. PMID: 34233178.

Wei, L., S. Lee, S. Majumdar, B. Zhang, P. Sanfilippo, B. Joseph, P. Miura, M. Soller and E. C. Lai (2020). Overlapping Activities of ELAV/Hu Family RNA Binding Proteins Specify the Extended Neuronal 3' UTR Landscape in Drosophila. Molecular Cell 80: 140-155.

Shang, R., S. Baek, K. Kim, B. Kim, V. N. Kim, and E. C. Lai (2020). Genomic clustering aids nuclear processing of suboptimal pri-miRNA loci. Molecular Cell 78: 303-316.


Start date

As soon as possible

How to Apply

Please provide CV, motivation letter and references to Eric Lai, laie [at]


Eric Lai